Learning and re-using information in space layout planning problems using genetic engineering

被引：30

作者：

Gero, JS

Kazakov, VA

机构：

来源：

ARTIFICIAL INTELLIGENCE IN ENGINEERING | 1997年 / 11卷 / 03期

关键词：

genetic algorithms; genetic engineering; evolved genes; space layout planning;

D O I：

10.1016/S0954-1810(96)00051-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe the use of a genetic engineering version of genetic algorithms as a natural tool for gathering and re-using information about some classes of design problems. This information is stored in the form of sets of 'evolved genes' which are linked to beneficial qualities of the 'good' designs within this class of problems. The approach is illustrated on a space layout planning problem. (C) 1997 Elsevier Science Limited.

引用

页码：329 / 334

页数：6

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